Mcp Yolo

Mcp Yolo

Zero-shot object detection/segmentation with MCP and YOLOE

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About Mcp Yolo

Mcp Yolo is an agent-first development platform that provides zero-shot object detection and segmentation capabilities through a Model Context Protocol (MCP) server. Utilizing Ultralytics YOLOE under the hood, it allows developers and AI agents to perform object detection and segmentation in images using arbitrary natural language prompts, without the need for retraining. Designed for flexibility and agent integration, it supports multiple image input formats and is optimized for autonomous deployments.

Resources

Documentation

Comprehensive guide to using MCP-YOLO, including setup and API references.

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Example Usage

Explore example use cases and code snippets to help you get started with MCP-YOLO.

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Issues and Discussions

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Product Website

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